Paper Abstract and Keywords |
Presentation |
2013-03-15 14:45
A CAI System for Remedial Education
-- A Student Model and a Search Algorithm for Identifying Each Weak Part of a Learner -- Fuminori Hirose (Shibaura Inst. of Tech.), Kazuhiro Uenosono (Aoyama Gakuin Univ.), Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2012-85 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Giving a lecture to a number of students by a teacher is an efficient way to convey knowledge in short period of time, but this traditional method has a disadvantage that the level of understanding for each student would vary [1]. For this reason, I’m proposing an individual learning system using a CAI system in order for students to study intensively for the specific subjects that they are weak at. The existing CAI systems, however, have no concept of the different areas of study in Student Models [2][3] so that students may have to study subjects that they have already understood enough. Therefore, these conventional system are time consuming and not efficient. My goal here is to build a CAI system for the remedial education which forces students to only focus on their weak parts by automatically identifying the weak parts of students. This paper is written for the purpose of explaining about Instruction Programs of the CAI system to clarify how it identifies the weak parts of study by using concrete examples. I will also prove the effectiveness of the proposed Instruction Programs with experiments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Identifying Weak Part / Enhanced-Overlay-Model / Drill & Practice Mode / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 496, KBSE2012-85, pp. 97-102, March 2013. |
Paper # |
KBSE2012-85 |
Date of Issue |
2013-03-07 (KBSE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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KBSE2012-85 |
Conference Information |
Committee |
KBSE |
Conference Date |
2013-03-14 - 2013-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Shibaura Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General session |
Paper Information |
Registration To |
KBSE |
Conference Code |
2013-03-KBSE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A CAI System for Remedial Education |
Sub Title (in English) |
A Student Model and a Search Algorithm for Identifying Each Weak Part of a Learner |
Keyword(1) |
Identifying Weak Part |
Keyword(2) |
Enhanced-Overlay-Model |
Keyword(3) |
Drill & Practice Mode |
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1st Author's Name |
Fuminori Hirose |
1st Author's Affiliation |
Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
2nd Author's Name |
Kazuhiro Uenosono |
2nd Author's Affiliation |
Aoyama Gakuin University (Aoyama Gakuin Univ.) |
3rd Author's Name |
Seiichi Komiya |
3rd Author's Affiliation |
Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2013-03-15 14:45:00 |
Presentation Time |
35 minutes |
Registration for |
KBSE |
Paper # |
KBSE2012-85 |
Volume (vol) |
vol.112 |
Number (no) |
no.496 |
Page |
pp.97-102 |
#Pages |
6 |
Date of Issue |
2013-03-07 (KBSE) |
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